{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 20215 (\\N{CJK UNIFIED IDEOGRAPH-4EF7}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 26684 (\\N{CJK UNIFIED IDEOGRAPH-683C}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 22270 (\\N{CJK UNIFIED IDEOGRAPH-56FE}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 21450 (\\N{CJK UNIFIED IDEOGRAPH-53CA}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 22343 (\\N{CJK UNIFIED IDEOGRAPH-5747}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 26085 (\\N{CJK UNIFIED IDEOGRAPH-65E5}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 26399 (\\N{CJK UNIFIED IDEOGRAPH-671F}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/30\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\PYTHON\\lib\\site-packages\\keras\\src\\layers\\rnn\\rnn.py:200: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(**kwargs)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 4ms/step - loss: 0.1137 - val_loss: 0.0061\n",
      "Epoch 2/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 0.0018 - val_loss: 6.2240e-04\n",
      "Epoch 3/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 5.4552e-04 - val_loss: 5.9645e-04\n",
      "Epoch 4/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 5.2627e-04 - val_loss: 5.9123e-04\n",
      "Epoch 5/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 5.1801e-04 - val_loss: 5.7710e-04\n",
      "Epoch 6/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 5.1089e-04 - val_loss: 5.6168e-04\n",
      "Epoch 7/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 5.0423e-04 - val_loss: 5.4771e-04\n",
      "Epoch 8/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 4.9753e-04 - val_loss: 5.3515e-04\n",
      "Epoch 9/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 4.9078e-04 - val_loss: 5.2370e-04\n",
      "Epoch 10/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 4.8405e-04 - val_loss: 5.1260e-04\n",
      "Epoch 11/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 4.7716e-04 - val_loss: 5.0173e-04\n",
      "Epoch 12/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 4.6991e-04 - val_loss: 4.9090e-04\n",
      "Epoch 13/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 4.6271e-04 - val_loss: 4.8015e-04\n",
      "Epoch 14/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 4.5523e-04 - val_loss: 4.6977e-04\n",
      "Epoch 15/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 4.4768e-04 - val_loss: 4.5979e-04\n",
      "Epoch 16/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 4.4011e-04 - val_loss: 4.5022e-04\n",
      "Epoch 17/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 4.3241e-04 - val_loss: 4.4098e-04\n",
      "Epoch 18/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 4.2479e-04 - val_loss: 4.3214e-04\n",
      "Epoch 19/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 4.1720e-04 - val_loss: 4.2377e-04\n",
      "Epoch 20/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 4.0978e-04 - val_loss: 4.1594e-04\n",
      "Epoch 21/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 4.0239e-04 - val_loss: 4.0888e-04\n",
      "Epoch 22/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 3.9507e-04 - val_loss: 4.0196e-04\n",
      "Epoch 23/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 3.8785e-04 - val_loss: 3.9542e-04\n",
      "Epoch 24/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 3.8066e-04 - val_loss: 3.8902e-04\n",
      "Epoch 25/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 3.7345e-04 - val_loss: 3.8170e-04\n",
      "Epoch 26/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 3.6646e-04 - val_loss: 3.7431e-04\n",
      "Epoch 27/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 3.5985e-04 - val_loss: 3.6666e-04\n",
      "Epoch 28/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 3.5362e-04 - val_loss: 3.5924e-04\n",
      "Epoch 29/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 3.4788e-04 - val_loss: 3.5167e-04\n",
      "Epoch 30/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 3.4250e-04 - val_loss: 3.4433e-04\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 21644 (\\N{CJK UNIFIED IDEOGRAPH-548C}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 39564 (\\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 35777 (\\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
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ffbXGjRsXdN8777wji8WiTz/9tMHn/fDDDzVnzpymds/PQw89pMGDBwdsP3r0qMaPHx/Sa9X0wgsvyOFwNOs1WhKhURhrQ2gEAAAAAAiBWbNmKScnR998803Avueff15Dhw7VBRdc0ODzdu7cWTabLRRdPKPk5GTFxcW1yLXCBaFRGPPONCpgeRoAAAAAtF5ut1RWZMxXPR+c9JOf/ESdO3fWCy+84Lf91KlTWrdunWbNmqXvvvtOU6dOVbdu3WSz2TRw4EC98sordZ635vK0zz//XJdddpni4+PVr18/5eTkBBxz77336rzzzpPNZlOvXr00f/58OZ2eyRIvvPCCFi1apE8++UQWi0UWi8XX55rL0/bs2aMrr7xSCQkJ6tixo+bMmaNTp0759t9yyy1KT0/X7373O3Xp0kUdO3bU3LlzfddqjMOHD+vaa69V27ZtlZiYqBtvvFF5eXm+/Z988omuuOIKtWvXTomJiRoyZIg++ugjSdKhQ4d09dVXq3379mrXrp1SU1O1fv36RvelPqKb9ewwlC3aLcnCTCMAAAAAaM2cxdJvuhpz7fuPSLFtztgsOjpa06dP1wsvvKAHHnhAFotFkrRu3TpVVFRo6tSpOnXqlIYMGaJ7771XiYmJevPNN3XzzTerd+/eGj58+Bmv4XK5dP311yspKUkffPCBCgoK/OofebVr104vvPCCunbtqj179mj27Nlq166dfvWrX2nKlCnau3evNmzYoLfeekuSZLfbA85RVFSktLQ0paam6sMPP9SxY8f0s5/9TBkZGX7B2JYtW9SlSxdt2bJFX3zxhaZMmaLBgwdr9uzZZ7yfYPfnDYzefvttlZeXa+7cuZoyZYq2bt0qSZo2bZouvPBCPfvss7Jardq9e7diYjwPupo7d67Kysr0r3/9SwkJCfroo4/Utm3bBvejIQiNwpivplEJoREAAAAAoGluvfVWPf7443r77bd1+eWXS/IsTZs0aZLsdrvsdrvuueceX/s77rhDGzdu1J///Od6hUZvvfWW9u/fr40bN6prV0+I9pvf/CagDtGDDz7oe92jRw/dc889WrNmjX71q18pISFBbdu2VXR0tJKTk2u91urVq3X69Gm99NJLatPGE5otW7ZMV199tR599FElJSVJktq3b69ly5bJarWqT58+mjhxojZv3tyo0Gjz5s3as2ePDh48qO7du0uSXnrpJfXv318ffvihhg0bpsOHD2vevHnq06ePJCklJcV3/OHDhzVp0iQNHDhQLpdLnTp1UmJiYoP70RCERmGMQtgAAAAAYAIxNs+MH6OuXU99+vTRyJEjtWrVKl1++eX64osv9M477+jhhx+WJFVUVOg3v/mN/vznP+vbb79VWVmZSktL612zaN++ferevbsvMJKk1NTUgHZr167V008/rS+//FKnTp1SeXl5g8OTffv2adCgQb7ASJIuueQSuVwuHThwwBca9e/fX1ar1demS5cu2rNnT4OuVf2a3bt39wVGktSvXz85HA7t27dPw4YNU2Zmpn72s5/pj3/8o8aMGaPJkyerd+/ekqRf/OIXuv3227Vp0yaNHj1aY8eO1ciRIxvVl/qiplEYaxPtWZtKTSMAAAAAaMUsFs8SMSO+KpeZ1desWbP017/+VSdPntTzzz+v3r17a9SoUZKkxx9/XE899ZTuvfdebdmyRbt371ZaWprKykL3b9Lt27dr2rRpmjBhgt544w19/PHHeuCBB0J6jeq8S8O8LBaLXC5Xs1xL8jz57d///rcmTpyof/7zn+rXr59ee+01SdLPfvYz/d///Z9uvvlmXz2mZcuWNVtfJEKjsMZMIwAAAABAKN14442KiorS6tWr9dJLL+nWW2/11Td67733dO211+q//uu/NGjQIPXq1Uv/+c9/6n3uvn376uuvv9bRo0d9295//32/Ntu2bdM555yjBx54QEOHDlVKSooOHTrk1yY2NlYVFRVnvNYnn3yioqIi37b33ntPUVFROv/88+vd54bw3t/XX3/t2/bZZ58pPz9f/fr1820777zzdPfdd2vTpk26/vrr9fzzz/v2de/eXbfddpv++te/au7cufr973/fLH31IjQKY4RGAAAAAIBQatu2raZMmaKsrCwdPXpUt9xyi29fSkqKcnJytG3bNu3bt0///d//7fdksDMZM2aMzjvvPM2YMUOffPKJ3nnnHT3wwAN+bVJSUnT48GGtWbNGX375pZ5++mnfTByvHj166ODBg9q9e7dOnDih0tLSgGtNmzZN8fHxmjFjhvbu3astW7bojjvu0M033+xbmtZYFRUV2r17t9/Xvn37NGbMGA0cOFDTpk3Trl27tGPHDk2fPl2jRo3S0KFDVVJSooyMDG3dulWHDh3Se++9pw8//FB9+/aVJN11113auHGjDh48qF27dundd9/11T5qLoRGYYxC2AAAAACAUJs1a5Z++OEHpaWl+dUfevDBB3XRRRcpLS1Nl19+uZKTk5Wenl7v80ZFRem1115TSUmJhg8frp/97Gf69a9/7dfmmmuu0d13362MjAwNHjxY27Zt0/z58/3aTJo0SePGjdMVV1yhzp0765VXXgm4ls1m08aNG/X9999r2LBhuuGGGzR69OiQLPc6deqULrzwQr+vq6++WhaLRX/729/Uvn17XXbZZRozZox69eqltWvXSpKsVqu+++47TZ8+Xeedd55uvPFGjR8/XosWLZLkCaPmzp2rvn37asKECerdu7eWL1/e5P7WxeJ2u93NegUTKiwslN1uV0FBQbNXIm8uTqdTz/55vZ7cE61ujgS9d9+VRncJCOB0OrV+/XpNmDAhYK0w0FowTmEWjFWYAeMUZtAS4/T06dM6ePCgevbsqfj4+Ga5BsKby+VSYWGhEhMTFRUVOB+orjHWkMyDmUZhrI1veRqFsAEAAAAAQMMQGoUx7/K0orIKlZU3X3V3AAAAAAAQfgiNwli8terpiQXUNQIAAAAAAA1AaBTGoiySPd6zBreghCVqAAAAAACg/giNwpw9wRMa5Rcz0wgAAAAAWhOeS4XmEqqxRWgU5uwJnsJGhEYAAAAA0DpYrVZJUlkZK0LQPIqLiyWpyU8AjA5FZ9B6+WYaUdMIAAAAAFqF6Oho2Ww2HT9+XDExMUEfmQ7UxeVyqaysTKdPn/YbP263W8XFxTp27JgcDocvoGwsQqMwV7U8jQQbAAAAAFoDi8WiLl266ODBgzp06JDR3YEJud1ulZSUKCEhQRbvE7CqcTgcSk5ObvJ1CI3CnMPmLYTNTCMAAAAAaC1iY2OVkpLCEjU0itPp1L/+9S9ddtllAUvQYmJimjzDyIvQKMxRCBsAAAAAWqeoqCjFx8cb3Q2YkNVqVXl5ueLj45tct6guLJwMc9Q0AgAAAAAAjUFoFOYc1DQCAAAAAACNQGgU5uzUNAIAAAAAAI1AaBTmHNQ0AgAAAAAAjUBoFObsLE8DAAAAAACNQGgU5hwJngfkFZ4uV4XLbXBvAAAAAACAWRAahbnEhKpH7xVS1wgAAAAAANQToVGYi7FGqW2cZ7ZRPqERAAAAAACoJ0KjCEBdIwAAAAAA0FCERhHAYasMjZhpBAAAAAAA6onQKAJ4QyNqGgEAAAAAgPoiNIoAjoRYSVJ+MaERAAAAAACoH0KjCGD3Lk8jNAIAAAAAAPVEaBQBHN5C2CUUwgYAAAAAAPVjeGi0fPly9ejRQ/Hx8RoxYoR27NhRZ/t169apT58+io+P18CBA7V+/fqANvv27dM111wju92uNm3aaNiwYTp8+HBz3UKr561pVMBMIwAAAAAAUE+GhkZr165VZmamFi5cqF27dmnQoEFKS0vTsWPHgrbftm2bpk6dqlmzZunjjz9Wenq60tPTtXfvXl+bL7/8Updeeqn69OmjrVu36tNPP9X8+fMVHx/fUrfV6vhqGlEIGwAAAAAA1JOhodGTTz6p2bNna+bMmerXr59WrFghm82mVatWBW3/1FNPady4cZo3b5769u2rxYsX66KLLtKyZct8bR544AFNmDBBjz32mC688EL17t1b11xzjc4666yWuq1WJ9G7PK2Y5WkAAAAAAKB+oo26cFlZmXbu3KmsrCzftqioKI0ZM0bbt28Pesz27duVmZnpty0tLU3Z2dmSJJfLpTfffFO/+tWvlJaWpo8//lg9e/ZUVlaW0tPTa+1LaWmpSktLfd8XFhZKkpxOp5xOc87O8fbb6XSqbaxFkic0Muv9IDxVH6dAa8U4hVkwVmEGjFOYAeMUZtCUcdqQYwwLjU6cOKGKigolJSX5bU9KStL+/fuDHpObmxu0fW5uriTp2LFjOnXqlH7729/qkUce0aOPPqoNGzbo+uuv15YtWzRq1Kig512yZIkWLVoUsH3Tpk2y2WyNub1WIycnR0eKJClax/KLgtaAAoyWk5NjdBeAM2KcwiwYqzADxinMgHEKM2jMOC0uLq53W8NCo+bgcrkkSddee63uvvtuSdLgwYO1bds2rVixotbQKCsry28GU2Fhobp3766xY8cqMTGx+TveDJxOp3JycnTVVVfpu5IKPfrpv1TiitL48WNlsViM7h4gyX+cxsTEGN0dICjGKcyCsQozYJzCDBinMIOmjFPv6qr6MCw06tSpk6xWq/Ly8vy25+XlKTk5OegxycnJdbbv1KmToqOj1a9fP782ffv21bvvvltrX+Li4hQXFxewPSYmxvQfEjExMeoc47m3CpdbpS6L2sWb+54QfsLhzxrCH+MUZsFYhRkwTmEGjFOYQWPGaUPaG1YIOzY2VkOGDNHmzZt921wulzZv3qzU1NSgx6Smpvq1lzxTsbztY2NjNWzYMB04cMCvzX/+8x+dc845Ib4D84iPsSou2vOjzi9mXS4AAAAAADgzQ5enZWZmasaMGRo6dKiGDx+upUuXqqioSDNnzpQkTZ8+Xd26ddOSJUskSXfeeadGjRqlJ554QhMnTtSaNWv00UcfaeXKlb5zzps3T1OmTNFll12mK664Qhs2bNDf//53bd261YhbbDUcthjlFZaqoMSp7kZ3BgAAAAAAtHqGhkZTpkzR8ePHtWDBAuXm5mrw4MHasGGDr9j14cOHFRVVNRlq5MiRWr16tR588EHdf//9SklJUXZ2tgYMGOBrc91112nFihVasmSJfvGLX+j888/XX//6V1166aUtfn+tiSMhVnmFpcw0AgAAAAAA9WJ4IeyMjAxlZGQE3RdsdtDkyZM1efLkOs9566236tZbbw1F98KG3eZZs5hfUmZwTwAAAAAAgBkYVtMILcuRUBkaMdMIAAAAAADUA6FRhHBUzjQqKCE0AgAAAAAAZ0ZoFCEctlhJUn4xy9MAAAAAAMCZERpFCDvL0wAAAAAAQAMQGkUIh68QNqERAAAAAAA4M0KjCOFI8CxPo6YRAAAAAACoD0KjCOErhM3yNAAAAAAAUA+ERhHCV9OohELYAAAAAADgzAiNIoSvphEzjQAAAAAAQD0QGkUIh81T06i03KXTzgqDewMAAAAAAFo7QqMI0SbWqugoiyRmGwEAAAAAgDMjNIoQFoulaokadY0AAAAAAMAZEBpFkMQE6hoBAAAAAID6ITSKIA5CIwAAAAAAUE+ERhHEWwy7gOVpAAAAAADgDAiNIggzjQAAAAAAQH0RGkUQu68QNqERAAAAAACoG6FRBHEkeJanMdMIAAAAAACcCaFRBHFUzjSiphEAAAAAADgTQqMI4g2NmGkEAAAAAADOhNAogtgphA0AAAAAAOqJ0CiCOGyemkYFFMIGAAAAAABnQGgUQRy+mUbUNAIAAAAAAHUjNIog3ppGRWUVKit3GdwbAAAAAADQmhEaRZB28TGyWDyvWaIGAAAAAADqQmgUQaxRFiXGe2YbFZSwRA0AAAAAANSO0CjCeJeoMdMIAAAAAADUhdAowlQVwyY0AgAAAAAAtSM0ijB2W6wkQiMAAAAAAFA3QqMI45tpxPI0AAAAAABQB0KjCOOraVRMIWwAAAAAAFA7QqMIw0wjAAAAAABQH4RGEYaaRgAAAAAAoD4IjSKMnZlGAAAAAACgHgiNIox3eRo1jQAAAAAAQF0IjSKMtxA2M40AAAAAAEBdCI0ijC80oqYRAAAAAACoA6FRhLEneAphF552qsLlNrg3AAAAAACgtSI0ijDeQthut3TyNLONAAAAAABAcIRGESY2OkptYq2SWKIGAAAAAABqR2gUgRw2zxI1imEDAAAAAIDaEBpFIO8StfziMoN7AgAAAAAAWitCowjkfYJaATONAAAAAABALQiNIpA3NKKmEQAAAAAAqA2hUQSyJ1TWNCI0AgAAAAAAtSA0ikC+mUYl1DQCAAAAAADBERpFIEdlIewCZhoBAAAAAIBaEBpFIAphAwAAAACAMyE0ikC+mkaERgAAAAAAoBaERhGo6ulp1DQCAAAAAADBERpFIJanAQAAAACAMyE0ikAO7/K0YqfcbrfBvQEAAAAAAK0RoVEE8s40Kne5VVRWYXBvAAAAAABAa0RoFIHiY6yKi/b86KlrBAAAAAAAgiE0ilD2BG8xbOoaAQAAAACAQIRGEYpi2AAAAAAAoC6ERhGqejFsAAAAAACAmgiNIpS9cqZRfgk1jQAAAAAAQCBCowjloKYRAAAAAACoA6FRhKKmEQAAAAAAqAuhUYRy2Lw1jVieBgAAAAAAAhEaRSg7y9MAAAAAAEAdCI0ilMNXCJvQCAAAAAAABGoVodHy5cvVo0cPxcfHa8SIEdqxY0ed7detW6c+ffooPj5eAwcO1Pr16/3233LLLbJYLH5f48aNa85bMB1Hgmd5WgEzjQAAAAAAQBCGh0Zr165VZmamFi5cqF27dmnQoEFKS0vTsWPHgrbftm2bpk6dqlmzZunjjz9Wenq60tPTtXfvXr9248aN09GjR31fr7zySkvcjmlUzTSiphEAAAAAAAhkeGj05JNPavbs2Zo5c6b69eunFStWyGazadWqVUHbP/XUUxo3bpzmzZunvn37avHixbrooou0bNkyv3ZxcXFKTk72fbVv374lbsc0qGkEAAAAAADqEm3kxcvKyrRz505lZWX5tkVFRWnMmDHavn170GO2b9+uzMxMv21paWnKzs7227Z161adddZZat++va688ko98sgj6tixY9BzlpaWqrS01Pd9YWGhJMnpdMrpNGeo4u13bf1vE2ORJJWWu3Sy+LTiY6wt1jfA60zjFGgNGKcwC8YqzIBxCjNgnMIMmjJOG3KMoaHRiRMnVFFRoaSkJL/tSUlJ2r9/f9BjcnNzg7bPzc31fT9u3Dhdf/316tmzp7788kvdf//9Gj9+vLZv3y6rNTAcWbJkiRYtWhSwfdOmTbLZbI25tVYjJycn6Ha3W4qSVS5Z9NqbG2WPbeGOAdXUNk6B1oRxCrNgrMIMGKcwA8YpzKAx47S4uLjebQ0NjZrLTTfd5Hs9cOBAXXDBBerdu7e2bt2q0aNHB7TPysrym71UWFio7t27a+zYsUpMTGyRPoea0+lUTk6OrrrqKsXExARt8/CeLfq+yKkhqT/WeUntWriHQP3GKWA0xinMgrEKM2CcwgwYpzCDpoxT7+qq+jA0NOrUqZOsVqvy8vL8tufl5Sk5OTnoMcnJyQ1qL0m9evVSp06d9MUXXwQNjeLi4hQXFxewPSYmxvQfEnXdg8MWq++LnDpV5jb9fcLcwuHPGsIf4xRmwViFGTBOYQaMU5hBY8ZpQ9obWgg7NjZWQ4YM0ebNm33bXC6XNm/erNTU1KDHpKam+rWXPNOxamsvSd98842+++47denSJTQdDxMObzHsEtbqAgAAAAAAf4Y/PS0zM1PPPfecXnzxRe3bt0+33367ioqKNHPmTEnS9OnT/Qpl33nnndqwYYOeeOIJ7d+/Xw899JA++ugjZWRkSJJOnTqlefPm6f3339dXX32lzZs369prr9W5556rtLQ0Q+6xtXLYPIWMCniCGgAAAAAAqMHwmkZTpkzR8ePHtWDBAuXm5mrw4MHasGGDr9j14cOHFRVVlW2NHDlSq1ev1oMPPqj7779fKSkpys7O1oABAyRJVqtVn376qV588UXl5+era9euGjt2rBYvXhx0CVokq5ppVGZwTwAAAAAAQGtjeGgkSRkZGb6ZQjVt3bo1YNvkyZM1efLkoO0TEhK0cePGUHYvbNltlaERM40AAAAAAEANhi9Pg3EcCZ7ladQ0AgAAAAAANREaRTB7gmeiGTWNAAAAAABATYRGEcxbCJuaRgAAAAAAoCZCowhGTSMAAAAAAFAbQqMI5nt6GqERAAAAAACogdAognmXpxVQCBsAAAAAANRAaBTBvDONTpWWy1nhMrg3AAAAAACgNSE0imCJlaGRxGwjAAAAAADgj9AoglmjLEqMj5ZEXSMAAAAAAOCP0CjCVdU1KjO4JwAAAAAAoDUhNIpwDhtPUAMAAAAAAIEIjSKcPYHQCAAAAAAABCI0inDe5Wn5FMIGAAAAAADVEBpFOEflTKOCYmoaAQAAAACAKoRGEc5b06iAmUYAAAAAAKAaQqMI56tpRGgEAAAAAACqITSKcL6aRhTCBgAAAAAA1RAaRTgHM40AAAAAAEAQhEYRzlfTiELYAAAAAACgGkKjCOcNjZhpBAAAAAAAqiM0inD2BE9No4ISp1wut8G9AQAAAAAArQWhUYTzPj3N7ZZOni43uDcAAAAAAKC1IDSKcLHRUbLFWiVJ+SXUNQIAAAAAAB6ERqh6gloxdY0AAAAAAIAHoRFkt3nqGlEMGwAAAAAAeBEaodpMI5anAQAAAAAAD0IjyGHzhEYFzDQCAAAAAACVCI3gC42oaQQAAAAAALwIjSB7QmVNI0IjAAAAAABQidAIVTONSqhpBAAAAAAAPAiN4CuEXcBMIwAAAAAAUInQCNVmGhEaAQAAAAAAD0IjVKtpxPI0AAAAAADgQWgE30yjAmYaAQAAAACASoRGqFqeVuyU2+02uDcAAAAAAKA1IDSCHJXL08pdbhWXVRjcGwAAAAAA0BoQGkHxMVGKjfYMBYphAwAAAAAAidAIkiwWixwJ3iVqFMMGAAAAAACERqjkK4ZdzEwjAAAAAABAaIRK3rpGLE8DAAAAAAASoREq2as9QQ0AAAAAAIDQCJJUVdOohJpGAAAAAACA0AiVqGkEAAAAAACqIzSCJMmewPI0AAAAAABQhdAIkiS7zVsIm+VpAAAAAACA0AiVHMw0AgAAAAAA1RAaQVK1mkYlhEYAAAAAAIDQCJUcCZXL05hpBAAAAAAARGiESt6ZRtQ0AgAAAAAAEqERKtkrQ6PTTpdOOysM7g0AAAAAADAaoREkSe3iomWNskiirhEAAAAAACA0QiWLxSI7T1ADAAAAAACVCI3g4/CFRtQ1AgAAAAAg0hEawcfuK4bNTCMAAAAAACIdoRF8vDONClieBgAAAABAxCM0go/DFitJyi9heRoAAAAAAJGO0Ag+3kLYPD0NAAAAAAAQGsHHYePpaQAAAAAAwIPQCD6+p6cx0wgAAAAAgIhHaAQfb00jCmEDAAAAAABCI/jYvcvTKIQNAAAAAEDEIzSCj295GjONAAAAAACIeIRG8GF5GgAAAAAA8GoVodHy5cvVo0cPxcfHa8SIEdqxY0ed7detW6c+ffooPj5eAwcO1Pr162tte9ttt8lisWjp0qUh7nX48c40OllaLmeFy+DeAAAAAAAAIxkeGq1du1aZmZlauHChdu3apUGDBiktLU3Hjh0L2n7btm2aOnWqZs2apY8//ljp6elKT0/X3r17A9q+9tprev/999W1a9fmvo2wkFgZGklSIU9QAwAAAAAgokUb3YEnn3xSs2fP1syZMyVJK1as0JtvvqlVq1bpvvvuC2j/1FNPady4cZo3b54kafHixcrJydGyZcu0YsUKX7tvv/1Wd9xxhzZu3KiJEyfW2YfS0lKVlpb6vi8sLJQkOZ1OOZ3mDE+8/W5o/9vFR+vk6XKdKCxRYpzhmSLCXGPHKdCSGKcwC8YqzIBxCjNgnMIMmjJOG3KMoaFRWVmZdu7cqaysLN+2qKgojRkzRtu3bw96zPbt25WZmem3LS0tTdnZ2b7vXS6Xbr75Zs2bN0/9+/c/Yz+WLFmiRYsWBWzftGmTbDZbPe+mdcrJyWlQ+1i3VZJF//jn2+rZrnn6BNTU0HEKGIFxCrNgrMIMGKcwA8YpzKAx47S4uLjebQ0NjU6cOKGKigolJSX5bU9KStL+/fuDHpObmxu0fW5uru/7Rx99VNHR0frFL35Rr35kZWX5BVGFhYXq3r27xo4dq8TExPreTqvidDqVk5Ojq666SjExMWc+oNJzh97Xd0cK1W/wMF1xfudm7CHQ+HEKtCTGKcyCsQozYJzCDBinMIOmjFPv6qr6MHx5Wqjt3LlTTz31lHbt2iWLxVKvY+Li4hQXFxewPSYmxvQfEg29h/ZtPE9QO1XmMv29wzzC4c8awh/jFGbBWIUZME5hBoxTmEFjxmlD2htatKZTp06yWq3Ky8vz256Xl6fk5OSgxyQnJ9fZ/p133tGxY8d09tlnKzo6WtHR0Tp06JB++ctfqkePHs1yH+HEXlkMO7+Y9bsAAAAAAEQyQ0Oj2NhYDRkyRJs3b/Ztc7lc2rx5s1JTU4Mek5qa6tde8qzh87a/+eab9emnn2r37t2+r65du2revHnauHFj891MmHDYKkMjnp4GAAAAAEBEM3x5WmZmpmbMmKGhQ4dq+PDhWrp0qYqKinxPU5s+fbq6deumJUuWSJLuvPNOjRo1Sk888YQmTpyoNWvW6KOPPtLKlSslSR07dlTHjh39rhETE6Pk5GSdf/75LXtzJuRI8CxPKyguM7gnAAAAAADASIaHRlOmTNHx48e1YMEC5ebmavDgwdqwYYOv2PXhw4cVFVU1IWrkyJFavXq1HnzwQd1///1KSUlRdna2BgwYYNQthBVmGgEAAAAAAKkVhEaSlJGRoYyMjKD7tm7dGrBt8uTJmjx5cr3P/9VXXzWyZ5GHmkYAAAAAAEAyuKYRWh+HzbM8jZlGAAAAAABENkIj+PEuT6OmEQAAAAAAkY3QCH4clcvTCphpBAAAAABARCM0gh+7rSo0crncBvcGAAAAAAAYhdAIfryFsF1u6WRpucG9AQAAAAAARiE0gp+4aKtssVZJUgFPUAMAAAAAIGIRGiGAt65RfgnFsAEAAAAAiFSERghgt8VKkvKZaQQAAAAAQMQiNEKAqplGhEYAAAAAAEQqQiMEcHifoFbM8jQAAAAAACIVoRECeEMjlqcBAAAAABC5CI0QwJ5QWdOI5WkAAAAAAEQsQiMEsCcw0wgAAAAAgEhHaIQAvppGJdQ0AgAAAAAgUhEaIYCDmUYAAAAAAEQ8QiMEsHsLYVPTCAAAAACAiEVohAAObyFsZhoBAAAAABCxCI0QoHpNI7fbbXBvAAAAAACAEQiNEMAbGjkr3CouqzC4NwAAAAAAwAiERgiQEGNVrNUzNKhrBAAAAABAZCI0QgCLxVJVDLu4zODeAAAAAAAAIxAaIShHQmVdI4phAwAAAAAQkQiNEJS3rhHL0wAAAAAAiEyERgjKnhArSSogNAIAAAAAICIRGiEo30wjlqcBAAAAABCRCI0QlLemUX4JhbABAAAAAIhEhEYIyjvTiELYAAAAAABEJkIjBGW3eWoasTwNAAAAAIDIRGiEoFieBgAAAABAZGtUaPT111/rm2++8X2/Y8cO3XXXXVq5cmXIOgZjUQgbAAAAAIDI1qjQ6Kc//am2bNkiScrNzdVVV12lHTt26IEHHtDDDz8c0g7CGI4Ez/K0ghJCIwAAAAAAIlGjQqO9e/dq+PDhkqQ///nPGjBggLZt26aXX35ZL7zwQij7B4Mw0wgAAAAAgMjWqNDI6XQqLi5OkvTWW2/pmmuukST16dNHR48eDV3vYBh7ZWhU4qzQaWeFwb0BAAAAAAAtrVGhUf/+/bVixQq98847ysnJ0bhx4yRJR44cUceOHUPaQRijbWy0oiye14UsUQMAAAAAIOI0KjR69NFH9b//+7+6/PLLNXXqVA0aNEiS9Prrr/uWrcHcoqIssvueoEZoBAAAAABApIluzEGXX365Tpw4ocLCQrVv3963fc6cObLZbCHrHIzlsMXqh2IndY0AAAAAAIhAjZppVFJSotLSUl9gdOjQIS1dulQHDhzQWWedFdIOwji+mUbFZQb3BAAAAAAAtLRGhUbXXnutXnrpJUlSfn6+RowYoSeeeELp6el69tlnQ9pBGMf3BDWWpwEAAAAAEHEaFRrt2rVLP/7xjyVJf/nLX5SUlKRDhw7ppZde0tNPPx3SDsI4jsqZRgUsTwMAAAAAIOI0KjQqLi5Wu3btJEmbNm3S9ddfr6ioKF188cU6dOhQSDsI4zhssZKk/BKWpwEAAAAAEGkaFRqde+65ys7O1tdff62NGzdq7NixkqRjx44pMTExpB2EcapqGjHTCAAAAACASNOo0GjBggW655571KNHDw0fPlypqamSPLOOLrzwwpB2EMahphEAAAAAAJErujEH3XDDDbr00kt19OhRDRo0yLd99OjRuu6660LWORjLGxpR0wgAAAAAgMjTqNBIkpKTk5WcnKxvvvlGkvSjH/1Iw4cPD1nHYDxHAjWNAAAAAACIVI1anuZyufTwww/LbrfrnHPO0TnnnCOHw6HFixfL5XKFuo8wiN0704jlaQAAAAAARJxGzTR64IEH9Ic//EG//e1vdckll0iS3n33XT300EM6ffq0fv3rX4e0kzCGg0LYAAAAAABErEaFRi+++KJ+//vf65prrvFtu+CCC9StWzf9/Oc/JzQKEw6bZ3naydPlKq9wKdraqIlpAAAAAADAhBqVAnz//ffq06dPwPY+ffro+++/b3Kn0DokxldlioWnyw3sCQAAAAAAaGmNCo0GDRqkZcuWBWxftmyZLrjggiZ3Cq1DtDVK7SqDo/xiimEDAAAAABBJGrU87bHHHtPEiRP11ltvKTU1VZK0fft2ff3111q/fn1IOwhjOWwxOnm6XPkUwwYAAAAAIKI0aqbRqFGj9J///EfXXXed8vPzlZ+fr+uvv17//ve/9cc//jHUfYSBHAmeukYFFMMGAAAAACCiNGqmkSR17do1oOD1J598oj/84Q9auXJlkzuG1sFhq3yCWgnL0wAAAAAAiCQ8Dgt1sidUhkbMNAIAAAAAIKIQGqFOvplGhEYAAAAAAEQUQiPUyTvTqIBC2AAAAAAARJQG1TS6/vrr69yfn5/flL6gFfIWws4vpqYRAAAAAACRpEGhkd1uP+P+6dOnN6lDaF3svkLYzDQCAAAAACCSNCg0ev7555urH2ilHBTCBgAAAAAgIlHTCHVy2DzL06hpBAAAAABAZCE0Qp2qnp5GTSMAAAAAACIJoRHq5Kj29DSXy21wbwAAAAAAQEshNEKdEitDI5dbOllabnBvAAAAAABAS2kVodHy5cvVo0cPxcfHa8SIEdqxY0ed7detW6c+ffooPj5eAwcO1Pr16/32P/TQQ+rTp4/atGmj9u3ba8yYMfrggw+a8xbCVnyMVQkxVklSAcWwAQAAAACIGIaHRmvXrlVmZqYWLlyoXbt2adCgQUpLS9OxY8eCtt+2bZumTp2qWbNm6eOPP1Z6errS09O1d+9eX5vzzjtPy5Yt0549e/Tuu++qR48eGjt2rI4fP95StxVWfHWNSqhrBAAAAABApDA8NHryySc1e/ZszZw5U/369dOKFStks9m0atWqoO2feuopjRs3TvPmzVPfvn21ePFiXXTRRVq2bJmvzU9/+lONGTNGvXr1Uv/+/fXkk0+qsLBQn376aUvdVlixV6trBAAAAAAAIkO0kRcvKyvTzp07lZWV5dsWFRWlMWPGaPv27UGP2b59uzIzM/22paWlKTs7u9ZrrFy5Una7XYMGDQraprS0VKWlpb7vCwsLJUlOp1NOpzmDEm+/Q9F/e4JnmHx38rRp3w+0TqEcp0BzYZzCLBirMAPGKcyAcQozaMo4bcgxhoZGJ06cUEVFhZKSkvy2JyUlaf/+/UGPyc3NDdo+NzfXb9sbb7yhm266ScXFxerSpYtycnLUqVOnoOdcsmSJFi1aFLB906ZNstlsDbmlVicnJ6fJ5ygpiJIUpfc+/FiWr3mCGkIvFOMUaG6MU5gFYxVmwDiFGTBOYQaNGafFxcX1bmtoaNScrrjiCu3evVsnTpzQc889pxtvvFEffPCBzjrrrIC2WVlZfrOXCgsL1b17d40dO1aJiYkt2e2QcTqdysnJ0VVXXaWYmJgmneu9sn/r0++/1Y96na8Jl/cKUQ+B0I5ToLkwTmEWjFWYAeMUZsA4hRk0ZZx6V1fVh6GhUadOnWS1WpWXl+e3PS8vT8nJyUGPSU5Orlf7Nm3a6Nxzz9W5556riy++WCkpKfrDH/7gtxTOKy4uTnFxcQHbY2JiTP8hEYp7aN/W896cLK0w/fuB1ikc/qwh/DFOYRaMVZgB4xRmwDiFGTRmnDakvaGFsGNjYzVkyBBt3rzZt83lcmnz5s1KTU0Nekxqaqpfe8kzHau29tXPW71uEerPkRArScqnEDYAAAAAABHD8OVpmZmZmjFjhoYOHarhw4dr6dKlKioq0syZMyVJ06dPV7du3bRkyRJJ0p133qlRo0bpiSee0MSJE7VmzRp99NFHWrlypSSpqKhIv/71r3XNNdeoS5cuOnHihJYvX65vv/1WkydPNuw+zcxh86SQ+cWERgAAAAAARArDQ6MpU6bo+PHjWrBggXJzczV48GBt2LDBV+z68OHDioqqmhA1cuRIrV69Wg8++KDuv/9+paSkKDs7WwMGDJAkWa1W7d+/Xy+++KJOnDihjh07atiwYXrnnXfUv39/Q+7R7BwJntCooKTM4J4AAAAAAICWYnhoJEkZGRnKyMgIum/r1q0B2yZPnlzrrKH4+Hi9+uqroexexLMz0wgAAAAAgIhjaE0jmAM1jQAAAAAAiDyERjgjb02jgmKn3G63wb0BAAAAAAAtgdAIZ2SvrGlUVuFSibPC4N4AAAAAAICWQGiEM7LFWhVjtUiirhEAAAAAAJGC0AhnZLFYZPfWNSI0AgAAAAAgIhAaoV68dY3yS8oM7gkAAAAAAGgJhEaoF0dCVTFsAAAAAAAQ/giNUC9VM40IjQAAAAAAiASERqgXahoBAAAAABBZCI1QL9Q0AgAAAAAgshAaoV6oaQQAAAAAQGQhNEK9+GYaERoBAAAAABARCI1QL3abp6ZRAYWwAQAAAACICIRGqBfv8jSengYAAAAAQGQgNEK9eJenFRRTCBsAAAAAgEhAaIR6cSR4lqcx0wgAAAAAgMhAaIR6sVfONCouq1BpeYXBvQEAAAAAAM2N0Aj10i4uWlEWz2uKYQMAAAAAEP4IjVAvUVEW2RO8dY0IjQAAAAAACHeERqg3h426RgAAAAAARApCI9Sbd6ZRPjONAAAAAAAIe4RGqDeHzRsalRncEwAAAAAA0NwIjVBvDm9NI5anAQAAAAAQ9giNUG8sTwMAAAAAIHIQGqHe7L5C2CxPAwAAAAAg3BEaod4czDQCAAAAACBiEBqh3ryFsKlpBAAAAABA+CM0Qr1VPT2N0AgAAAAAgHBHaIR6sydQ0wgAAAAAgEhBaIR6Y6YRAAAAAACRg9AI9eYthH3ydLnKK1wG9wYAAAAAADQnQiPUm70yNJKkwtPlBvYEAAAAAAA0N0Ij1Fu0NUrt4qIlSfnF1DUCAAAAACCcERqhQeyVdY0KSqhrBAAAAABAOCM0QoP4imETGgEAAAAAENYIjdAgjoRYSVIBT1ADAAAAACCsERqhQbzL06hpBAAAAABAeCM0QoM4ElieBgAAAABAJCA0QoP4ahqxPA0AAAAAgLBGaIQG8dU0YqYRAAAAAABhjdAIDUJNIwAAAAAAIgOhERqEmkYAAAAAAEQGQiM0iMNWuTyNmkYAAAAAAIQ1QiM0iK8QNjONAAAAAAAIa4RGaBB7QlVNI5fLbXBvAAAAAABAcyE0QoN4QyOXWzpVVm5wbwAAAAAAQHMhNEKDxMdYFR/jGTbUNQIAAAAAIHwRGqHBHAmeYtj5hEYAAAAAAIQtQiM0WFUx7DKDewIAAAAAAJoLoREarKoYNjONAAAAAAAIV4RGaLCqmUaERgAAAAAAhCtCIzSYt6ZRQTHL0wAAAAAACFeERmgw30wjlqcBAAAAABC2CI3QYPbK0KiA5WkAAAAAAIQtQiM0mHd5GjWNAAAAAAAIX4RGaDDv8rQClqcBAAAAABC2CI3QYI4E79PTKIQNAAAAAEC4IjRCg9kphA0AAAAAQNgjNEKDOWxVNY3cbrfBvQEAAAAAAM2B0AgN5l2eVlbu0mmny+DeAAAAAACA5kBohAazxVoVY7VIoq4RAAAAAADhitAIDWaxWGRPqFyiRl0jAAAAAADCEqERGsVBMWwAAAAAAMJaqwiNli9frh49eig+Pl4jRozQjh076my/bt069enTR/Hx8Ro4cKDWr1/v2+d0OnXvvfdq4MCBatOmjbp27arp06fryJEjzX0bEcVb16iA5WkAAAAAAIQlw0OjtWvXKjMzUwsXLtSuXbs0aNAgpaWl6dixY0Hbb9u2TVOnTtWsWbP08ccfKz09Xenp6dq7d68kqbi4WLt27dL8+fO1a9cuvfrqqzpw4ICuueaalrytsMdMIwAAAAAAwpvhodGTTz6p2bNna+bMmerXr59WrFghm82mVatWBW3/1FNPady4cZo3b5769u2rxYsX66KLLtKyZcskSXa7XTk5Obrxxht1/vnn6+KLL9ayZcu0c+dOHT58uCVvLawlVs40yi8hNAIAAAAAIBxFG3nxsrIy7dy5U1lZWb5tUVFRGjNmjLZv3x70mO3btyszM9NvW1pamrKzs2u9TkFBgSwWixwOR9D9paWlKi0t9X1fWFgoybPUzek0Zyji7Xdz9T8xzipJ+v7UadO+RzBec49TIBQYpzALxirMgHEKM2CcwgyaMk4bcoyhodGJEydUUVGhpKQkv+1JSUnav39/0GNyc3ODts/NzQ3a/vTp07r33ns1depUJSYmBm2zZMkSLVq0KGD7pk2bZLPZ6nMrrVZOTk6znPfYNxZJVu058H9aX/5Fs1wDkaO5xikQSoxTmAVjFWbAOIUZME5hBo0Zp8XFxfVua2ho1NycTqduvPFGud1uPfvss7W2y8rK8pu9VFhYqO7du2vs2LG1Bk2tndPpVE5Ojq666irFxMSE/Pzff3BY67/er8ROyZowYXDIz4/I0NzjFAgFxinMgrEKM2CcwgwYpzCDpoxT7+qq+jA0NOrUqZOsVqvy8vL8tufl5Sk5OTnoMcnJyfVq7w2MDh06pH/+8591hj9xcXGKi4sL2B4TE2P6D4nmuocObeMlSYWnK0z/HsF44fBnDeGPcQqzYKzCDBinMAPGKcygMeO0Ie0NLYQdGxurIUOGaPPmzb5tLpdLmzdvVmpqatBjUlNT/dpLnulY1dt7A6PPP/9cb731ljp27Ng8NxDBHLZYSRTCBgAAAAAgXBm+PC0zM1MzZszQ0KFDNXz4cC1dulRFRUWaOXOmJGn69Onq1q2blixZIkm68847NWrUKD3xxBOaOHGi1qxZo48++kgrV66U5AmMbrjhBu3atUtvvPGGKioqfPWOOnTooNjYWGNuNMw4Kp+eVlBcZnBPAAAAAABAczA8NJoyZYqOHz+uBQsWKDc3V4MHD9aGDRt8xa4PHz6sqKiqCVEjR47U6tWr9eCDD+r+++9XSkqKsrOzNWDAAEnSt99+q9dff12SNHjwYL9rbdmyRZdffnmL3Fe4c9g8oREzjQAAAAAACE+Gh0aSlJGRoYyMjKD7tm7dGrBt8uTJmjx5ctD2PXr0kNvtDmX3EIQjwTNjq7isQmXlLsVGG7rSEQAAAAAAhBj/0kejtIuPlsXieV3AbCMAAAAAAMIOoREaJSrKIru3rlEJdY0AAAAAAAg3hEZoNG8x7PxiZhoBAAAAABBuCI3QaHabp64RoREAAAAAAOGH0AiN5ptpRE0jAAAAAADCDqERGs1h8y5Po6YRAAAAAADhhtAIjebwFcJmphEAAAAAAOGG0AiNRk0jAAAAAADCF6ERGo2aRgAAAAAAhC9CIzQaNY0AAAAAAAhfhEZoNG9oRE0jAAAAAADCD6ERGs2eQE0jAAAAAADCFaERGs2ewPI0AAAAAADCFaERGs27PK3wdLkqXG6DewMAAAAAAEKJ0AiN5p1pJEmF1DUCAAAAACCsEBqh0WKsUWobFy1Jyic0AgAAAAAgrBAaoUmoawQAAAAAQHgiNEKTeOsaMdMIAAAAAIDwQmiEJvGGRgXFhEYAAAAAAIQTQiM0iSMhVhLL0wAAAAAACDeERmgSO8vTAAAAAAAIS4RGaBJHZSHsAkIjAAAAAADCCqERmoSaRgAAAAAAhCdCIzSJr6YRM40AAAAAAAgrhEZoEl9NIwphAwAAAAAQVgiN0CTemkbMNAIAAAAAILwQGqFJHDbP8jRqGgEAAAAAEF4IjdAk3kLY+SVOud1ug3sDAAAAAABChdAITWKvXJ5W4XLrVGm5wb0BAAAAAAChQmiEJomPsSo+xjOM8lmiBgAAAABA2CA0QpM5EirrGlEMGwAAAACAsEFohCbz1TViphEAAAAAAGGD0AhN5q1rlF9SZnBPAAAAAABAqBAaocl8oREzjQAAAAAACBuERmgy7/I0ahoBAAAAABA+CI3QZA6bpxB2fjHL0wAAAAAACBeERmgylqcBAAAAABB+CI3QZL6np7E8DQAAAACAsEFohCZzJHiWpxUw0wgAAAAAgLBBaIQmq5ppRE0jAAAAAADCBaERmoyaRgAAAAAAhB9CIzSZd6ZRATWNAAAAAAAIG4RGaDKHzVPTqLTcpdPOCoN7AwAAAAAAQoHQCE3WJtaq6CiLJJaoAQAAAAAQLgiN0GQWi4Vi2AAAAAAAhBlCI4QExbABAAAAAAgvhEYICW9dI0IjAAAAAADCA6ERQsKR4H2CGsvTAAAAAAAIB4RGCAm7jeVpAAAAAACEE0IjhIQjoXJ5WgmhEQAAAAAA4YDQCCHhYKYRAAAAAABhhdAIIeENjahpBAAAAABAeCA0QkjYE5hpBAAAAABAOCE0Qkg4bJU1jQiNAAAAAAAIC4RGCAnvTKMCCmEDAAAAABAWCI0QEg7f8jRqGgEAAAAAEA4IjRAS3kLYRWUVKit3GdwbAAAAAADQVIRGCIl28TGyWDyvWaIGAAAAAID5ERohJKxRFiXGe+sasUQNAAAAAACzIzRCyHiXqPEENQAAAAAAzI/QCCFTVQyb0AgAAAAAALMjNELI2G2xkqR8ahoBAAAAAGB6hEYIGe9MIwphAwAAAABgfoaHRsuXL1ePHj0UHx+vESNGaMeOHXW2X7dunfr06aP4+HgNHDhQ69ev99v/6quvauzYserYsaMsFot2797djL1Hdd6aRgXFFMIGAAAAAMDsDA2N1q5dq8zMTC1cuFC7du3SoEGDlJaWpmPHjgVtv23bNk2dOlWzZs3Sxx9/rPT0dKWnp2vv3r2+NkVFRbr00kv16KOPttRtoJKvphEzjQAAAAAAMD1DQ6Mnn3xSs2fP1syZM9WvXz+tWLFCNptNq1atCtr+qaee0rhx4zRv3jz17dtXixcv1kUXXaRly5b52tx8881asGCBxowZ01K3gUq+mkYUwgYAAAAAwPSijbpwWVmZdu7cqaysLN+2qKgojRkzRtu3bw96zPbt25WZmem3LS0tTdnZ2U3qS2lpqUpLS33fFxYWSpKcTqecTnMGIN5+t2T/28V6MsgfikpN+76hZRkxToGGYpzCLBirMAPGKcyAcQozaMo4bcgxhoVGJ06cUEVFhZKSkvy2JyUlaf/+/UGPyc3NDdo+Nze3SX1ZsmSJFi1aFLB906ZNstlsTTq30XJyclrsWp//YJFk1aGjJwJqTQF1aclxCjQW4xRmwViFGTBOYQaMU5hBY8ZpcXFxvdsaFhq1JllZWX4zmAoLC9W9e3eNHTtWiYmJBvas8ZxOp3JycnTVVVcpJiamRa6ZfDhfz+3fIcXZNGHCj1vkmjA3I8Yp0FCMU5gFYxVmwDiFGTBOYQZNGafe1VX1YVho1KlTJ1mtVuXl5fltz8vLU3JyctBjkpOTG9S+vuLi4hQXFxewPSYmxvQfEi15Dx3bJUiSCkrKTf++oWWFw581hD/GKcyCsQozYJzCDBinMIPGjNOGtDesEHZsbKyGDBmizZs3+7a5XC5t3rxZqampQY9JTU31ay95pmLV1h4ty2HzDLzC005VuNwG9wYAAAAAADSFocvTMjMzNWPGDA0dOlTDhw/X0qVLVVRUpJkzZ0qSpk+frm7dumnJkiWSpDvvvFOjRo3SE088oYkTJ2rNmjX66KOPtHLlSt85v//+ex0+fFhHjhyRJB04cECSZ5ZSU2ckoW72BE9o5HZLJ0875ah8mhoAAAAAADAfw2YaSdKUKVP0u9/9TgsWLNDgwYO1e/dubdiwwVfs+vDhwzp69Kiv/ciRI7V69WqtXLlSgwYN0l/+8hdlZ2drwIABvjavv/66LrzwQk2cOFGSdNNNN+nCCy/UihUrWvbmIlCMNUpt4zw5ZH4xTxoAAAAAAMDMDC+EnZGRoYyMjKD7tm7dGrBt8uTJmjx5cq3nu+WWW3TLLbeEqHdoKHtCjE6Vliu/hNAIAAAAAAAzM3SmEcKPt65RfnGZwT0BAAAAAABNQWiEkPLWNSpgphEAAAAAAKZGaISQqpppRGgEAAAAAICZERohpOwJniemERoBAAAAAGBuhEYIKd9MoxJqGgEAAAAAYGaERggph7emETONAAAAAAAwNUIjhFTVTCNCIwAAAAAAzIzQCCFVVdOI5WkAAAAAAJgZoRFCiplGAAAAAACEB0IjhJQ3NCokNAIAAAAAwNQIjRBSDt/yNKfcbrfBvQEAAAAAAI1FaISQ8s40Kne5VVRWYXBvAAAAAABAYxEaIaTiY6yKi/YMK4phAwAAAABgXoRGCDlfMexi6hoBAAAAAGBWhEYIOW9dowKKYQMAAAAAYFqERgg5OzONAAAAAAAwPUIjhJwjoTI0KqGmEQAAAAAAZkVohJCjphEAAAAAAOZHaISQc9ioaQQAAAAAgNkRGoUzt8uQy9q9y9OKWZ4GAAAAAIBZERqFKcvnm3TF/gekU3ktfm2WpwEAAAAAYH6ERuGoolzWfz6kxNPfyvqXGZLzdIte3pHgWZ6Wz/I0AAAAAABMi9AoHFmjVT75jyqztlHUtx9Jr98hud0tdnnv8rQCZhoBAAAAAGBahEbhqkNvfdjzDrktVmnPn6V3n2yxS/uWp5VQ0wgAAAAAALMiNApjJ9r1kyvtt55vNj8s7ft7i1y3qhA2M40AAAAAADArQqMw5xoyUxo+x/PNq3Oko582+zW9M41Ky1067axo9usBAAAAAIDQIzSKBGlLpF5XSM5i6ZWp0snmfaJa27hoWaMskphtBAAAAACAWREaRQJrtDT5ealjilT4jbTmp836RDWLxSJHAnWNAAAAAAAwM0KjSJHQXvrpWineIbXAE9XsNuoaAQAAAABgZoRGkaRjb+nGl6SoaM8T1d55otku5aAYNgAAAAAApkZoFGl6jZLGP+Z5/c/F0mevN8tlHLZYSVJhCaERAAAAAABmRGgUiYbNkob/t+f1a/8tHf0k5JegphEAAAAAAOZGaBSp0n4j9b6y2Z6oRk0jAAAAAADMjdAoUlmjpRu8T1T7NuRPVHMkeJan5bM8DQAAAAAAUyI0imQJjhpPVMsI2RPVHJUzjQqYaQQAAAAAgCkRGkU6vyeqrQvZE9W8oRE1jQAAAAAAMCdCI3ieqDbhcc/rED1RzZ5ATSMAAAAAAMyM0AgeQ28N6RPVHLbKmkaERgAAAAAAmBKhEaoEPFEtt9GnclTONCqgEDYAAAAAAKZEaIQqAU9UmyY5Sxp1Km9No1Ol5XJWuELZSwAAAAAA0AIIjeCv5hPV/ta4J6q1i4+RxeJ5zWwjAAAAAADMh9AIgTr2lqb80fNEtb1/kd75XYNPYY2yKDGeYtgAAAAAAJgVoRGC63lZtSeqPSJ99rcGn8K7RK2gpCyUPQMAAAAAAC2A0Ai1G3qrNOI2z+vXbmvwE9XsCcw0AgAAAADArAiNULexv5Z6j27UE9UIjQAAAAAAMC9CI9TNGi3dsErqdF7lE9V+Wu8nqjlssZKkfAphAwAAAABgOoRGOLMEhzR1jZTQXvp2Z72fqOaonGlUUExNIwAAAAAAzIbQCPXTsbd040tVT1T715mfqOYthM1MIwAAAAAAzIfQCPXX8zJpQmVYtOXMT1SjphEAAAAAAOZFaISGGTpTGnG75/Wr/y0d2V1rU2oaAQAAAABgXoRGaLixj3ieqFZeUucT1Xw1jQiNAAAAAAAwHUIjNJw1Wpr8vNTpfOnkEU9wFOSJat6aRhTCBgAAAADAfAiN0DjxdumnlU9UO7JL+tvcgCeqUQgbAAAAAADzIjRC43XoJd34x8onqv014Ilq9gRPTaOCEqdcLnewMwAAAAAAgFaK0AhN0/PH0sQnPK9rPFHN+/Q0t1s6ebrciN4BAAAAAIBGIjRC0w25JegT1WKjo9Qm1ipJyi+hrhEAAAAAAGZCaITQGPuIdO6YgCeqOWyeJWr5xdQ1AgAAAADATAiNEBrWaOmGVQFPVPMuUaMYNgAAAAAA5hJtdAcQRrxPVHvuSt8T1RwJsyVJS9/6jzbvy1NSYrySE+OVbI/3vLbHq20cwxAAAAAAgNaGf60jtLxPVPtjurT3r5qV3F7bdKU+Ppyvjw/nBz2kbVy0khLjqoKkaqFSF7vn+45t42SNsrTorQAAAAAAEMkIjRB6PX8sTXxS+vsvNDr39/r7lQO1u93lyi08rdyCUuUVnlZu4WnlFZzWydJynSot16nj5fryeFGtp7RGWXRWu7ggM5X8t9liGdIAAAAAAIQC/8JG8xgyQzq+X3r//2ng+/doYGIXyRIlyeL5b4xF6mSRSxaVuySnWyqvkJwuyelyq6zC89/SCslZ4ZZLFrlLPF+uPIvcqvxye85xRNI3ipLVGqXYaKtio62KiY5WXIxVcdFWxcZEKzYmWhZZpMoJS5aqF5X/9W3x7LVUvQ7c721T4xw1jqt6WdXO8yqqapv3GIvnnjx9tFRvXO17S+W3Ub5jffsr2/j2WeR3TPVzWFTXtqhq5wo8h8X3c6zRR79tFv++1bIvyuVSr2P7FPXht566WFVvXsA9n/G89doW7Ny1tavHtQNe13ZcQ85R3+sEOf8Zjz9D/2o9po7jQ3adM1yzMffW0GOqXxsAAAAAoRGa0VWLpe8PSv/5h5R/OGiTKEmxlV+1ami59vLKL7R6VkkDJelbgzsC1OCqSmwVJeknktwfWyo/WjwBryS5fUdY5LZUbbNI1dpUhVXe9n7bqoVVbvmHXv7Xqdne4n/9msdaaj9f1Xlqbq92Tktt/bcE2V9L/y21Xz/w+ODXrv5eesL1an2o41qqcVxgP2reR9X5As9lqQqFFfx9CLjHIOcNCDWr9d1S87x+56j2PgS5nsVSeaxb6lBQoH1H/hr4ywW/9zB43/0C6br6ESws99tXxdM/i+/PReBx/n2rfk/B3ifv91Vdrf7nzuJ7LwPuye9eg91v5X/9+u/fL0uN96H2YL32ewvW9+Bhd919qLpO1TkD3jeL/76a5676xVfwv2gF228JGMP+L71/abMEeW+82yoqKuQ6ekBfvFciq9UqS7D7DtJPd433zvvzruqCpeahvr77/7zqvk7QbZIs3r+QRlXfVnMsKej75fdrx2D7z3B89Yv4bYuKqrE3yHFBr1fLe1D9L91Rfn+SfO951evKO/P7M1b5ZZF/uxrvg6dpkPfGd80g70GNn5/3HJZqf6ZrO68lqupYv/54/4xU/0zz7nA6ZXWVSs5iyR3ToD+n9d7GL6tgEq0iNFq+fLkef/xx5ebmatCgQXrmmWc0fPjwWtuvW7dO8+fP11dffaWUlBQ9+uijmjBhgm+/2+3WwoUL9dxzzyk/P1+XXHKJnn32WaWkpLTE7cDLGi1NfUXK2yuVl0pul+R2e/4rd5Dva76ubV/gcW63SyXOchUWlaqgxKmC4lKdLClTYeXXyZIyFZU65fb9i81d7S/yqjyP9y/sbm8TSS6/Jv7HVp3B7fb/3nshv6tUvvT81dn/n0nev8JX/+dQXe1831tq/pOy6jw1z1VXu5rXqPV6fv2sua9aG0vVdp3hWrX3K/h9q87zBN5DzfP63hNLVbvA42o/NtjPJPB9rrp3/33Bz1+zD/7nqHFeS/377H/+uvtd87iafa/tvMGPqf1akhRV7R5aq6hq71u9Nfa2Wv/bAbPJM7oDQN36SlKu0b0Aahcjzy+M9EnLXtflrvm3qtp+OSPJEnxf9b9W1PxlTrDz+p2zjnPU/BufpY59gdcMft5az1GVVtZ5DtU4tu59gSGd55cxdewLOK7qOicS+2v4Xa8EHBeODA+N1q5dq8zMTK1YsUIjRozQ0qVLlZaWpgMHDuiss84KaL9t2zZNnTpVS5Ys0U9+8hOtXr1a6enp2rVrlwYMGCBJeuyxx/T000/rxRdfVM+ePTV//nylpaXps88+U3x8fEvfYmSzWKTkgc1/GUm2yq/kZr9a07i9gVLlp5o72D7f9942NQMqBf3eF2fVOLe7WqOa566+Mdh1gvWvtvO4FXiQ//H+7ZzOcv3zn//UlVdeqejo6ODvRS3/oA563YDttfc78Nx1n6Pe16z53tfxs2vQeX3bmn4v/v098/mChZ/1bR8wXv2OcVc2qDyisrHFXRW4ud3Vg1u377/eoNZ7LYu78nW1P0PesMrtqv7XI1eNc1TrVbXzengC6ooKl/bu3aMBAwbIGhVV9efM5fIL5Xz/8fXBcy2L3FV9qHZ+v75Xv09vQ9/9uvzPX3O/qve76l78/htkn+898/bR17Tae6R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      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 9ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 32929 (\\N{CJK UNIFIED IDEOGRAPH-80A1}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 31080 (\\N{CJK UNIFIED IDEOGRAPH-7968}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 20215 (\\N{CJK UNIFIED IDEOGRAPH-4EF7}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 26684 (\\N{CJK UNIFIED IDEOGRAPH-683C}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 39044 (\\N{CJK UNIFIED IDEOGRAPH-9884}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 27979 (\\N{CJK UNIFIED IDEOGRAPH-6D4B}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 26102 (\\N{CJK UNIFIED IDEOGRAPH-65F6}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 38388 (\\N{CJK UNIFIED IDEOGRAPH-95F4}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 23454 (\\N{CJK UNIFIED IDEOGRAPH-5B9E}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "C:\\Users\\19779\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 38469 (\\N{CJK UNIFIED IDEOGRAPH-9645}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "均方误差: 0.01252\n",
      "均方根误差: 0.11189\n",
      "平均绝对误差: 0.08053\n",
      "R2: 0.96861\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from numpy import array\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense, LSTM\n",
    "import mplfinance as mpf\n",
    "from mplfinance.original_flavor import candlestick2_ohlc\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score\n",
    "import tushare as ts  # 导入 Tushare 库\n",
    "\n",
    "# 设置随机种子\n",
    "np.random.seed(1)\n",
    "tf.random.set_seed(1)\n",
    "\n",
    "# 获取数据\n",
    "# 请确保你的API Key是有效的，并且不要在公共代码中暴露它\n",
    "pro = ts.pro_api('b12260696e971fcf7b673d4c2be4e3198bdd25dfdca594586cc7ac50')\n",
    "df = pro.daily(ts_code='601939.SH', start_date='20100101', end_date='20241225')\n",
    "df.to_csv(\"stock601939.csv\")\n",
    "\n",
    "# 读取并处理数据\n",
    "mydata = pd.read_csv(\"stock601939.csv\", parse_dates=[\"trade_date\"], index_col=\"trade_date\")[[\"open\", \"high\", \"low\", \"close\"]]\n",
    "mydata = mydata.sort_index(ascending=True)  # 确保数据按时间顺序排列\n",
    "\n",
    "# 绘制K线图\n",
    "fig, ax = plt.subplots(figsize=(14, 7))\n",
    "candlestick2_ohlc(ax, opens=mydata['open'].values, highs=mydata['high'].values, lows=mydata['low'].values, closes=mydata['close'].values, width=0.5, colorup=\"r\", colordown=\"g\")\n",
    "\n",
    "# 添加均线\n",
    "mydata['5'] = mydata['close'].rolling(window=5).mean()\n",
    "mydata['10'] = mydata['close'].rolling(window=10).mean()\n",
    "\n",
    "plt.plot(mydata['5'].values, alpha=0.5, label='MA5')\n",
    "plt.plot(mydata['10'].values, alpha=0.5, label='MA10')\n",
    "\n",
    "ax.legend(facecolor='white', edgecolor='white', fontsize=10)\n",
    "plt.title('K线图及均线')\n",
    "plt.xlabel('日期')\n",
    "plt.ylabel('价格')\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# 参数设置\n",
    "n_timestamp = 5\n",
    "n_epochs = 30\n",
    "\n",
    "# 数据准备\n",
    "training_set = mydata.iloc[:, 3:4].to_numpy()  # 使用 'close' 列\n",
    "test_set = mydata.iloc[-300:, 3:4].to_numpy()  # 使用最后300天作为测试集\n",
    "\n",
    "sc = MinMaxScaler(feature_range=(0, 1))\n",
    "training_set_scaled = sc.fit_transform(training_set)\n",
    "testing_set_scaled = sc.transform(test_set)\n",
    "\n",
    "# 数据切分\n",
    "def data_split(sequence, n_timestamp):\n",
    "    X = []\n",
    "    y = []\n",
    "    for i in range(len(sequence) - n_timestamp):\n",
    "        seq_x, seq_y = sequence[i:i+n_timestamp], sequence[i+n_timestamp]\n",
    "        X.append(seq_x)\n",
    "        y.append(seq_y)\n",
    "    return np.array(X), np.array(y)\n",
    "\n",
    "X_train, y_train = data_split(training_set_scaled, n_timestamp)\n",
    "X_train = X_train.reshape(X_train.shape[0], X_train.shape[1], 1)\n",
    "X_test, y_test = data_split(testing_set_scaled, n_timestamp)\n",
    "X_test = X_test.reshape(X_test.shape[0], X_test.shape[1], 1)\n",
    "\n",
    "# 模型构建\n",
    "model = Sequential()\n",
    "model.add(LSTM(units=50, activation='relu', input_shape=(X_train.shape[1], 1)))\n",
    "model.add(Dense(units=1))\n",
    "\n",
    "model.compile(optimizer=tf.keras.optimizers.Adam(0.001), loss='mean_squared_error')\n",
    "\n",
    "# 训练模型\n",
    "history = model.fit(X_train, y_train, batch_size=64, epochs=n_epochs, validation_data=(X_test, y_test), validation_freq=1)\n",
    "\n",
    "# 绘制损失曲线\n",
    "plt.figure(figsize=(14, 7))\n",
    "plt.plot(history.history['loss'], label='Training Loss')\n",
    "plt.plot(history.history['val_loss'], label='Validation Loss')\n",
    "plt.title('训练和验证损失')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# 预测\n",
    "predicted_stock_price = model.predict(X_test)\n",
    "predicted_stock_price = sc.inverse_transform(predicted_stock_price)\n",
    "real_stock_price = sc.inverse_transform(y_test)\n",
    "\n",
    "# 绘制预测结果\n",
    "plt.figure(figsize=(14, 7))\n",
    "plt.plot(real_stock_price, color='red', label='实际股票价格')\n",
    "plt.plot(predicted_stock_price, color='blue', label='预测股票价格')\n",
    "plt.title('股票价格预测')\n",
    "plt.xlabel('时间')\n",
    "plt.ylabel('股票价格')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# 计算评价指标\n",
    "MSE = mean_squared_error(real_stock_price, predicted_stock_price)\n",
    "RMSE = mean_squared_error(real_stock_price, predicted_stock_price) ** 0.5\n",
    "MAE = mean_absolute_error(real_stock_price, predicted_stock_price)\n",
    "R2 = r2_score(real_stock_price, predicted_stock_price)\n",
    "\n",
    "print('均方误差: %.5f' % MSE)\n",
    "print('均方根误差: %.5f' % RMSE)\n",
    "print('平均绝对误差: %.5f' % MAE)\n",
    "print('R2: %.5f' % R2)"
   ]
  }
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